Remaining Useful Life Prediction for Bearing Based on Coupled Diffusion Process and Temporal Attention-Reference-Cited by-同舟云学术

Remaining Useful Life Prediction for Bearing Based on Coupled Diffusion Process and Temporal Attention

Published:2024 Issue: Volume:73 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Lu Yixiang¹^ORCID,Tang Daiqi¹^ORCID,Zhu De¹^ORCID,Gao Qingwei¹^ORCID,Zhao Dawei¹^ORCID,Lyu Junwen¹^ORCID

Affiliation:

1. Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education and Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment, School of Electrical Engineering and Automation, Anhui University, Hefei, China

Funder

National Natural Science Foundation of China

Nature Science Foundation of Anhui

Key Science Project of Anhui Education Department of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10438409.pdf?arnumber=10438409

Reference41 articles.

1. Remaining Useful Life Estimation for Rolling Bearings Using MSGCNN-TR

2. A Synthetic Feature Processing Method for Remaining Useful Life Prediction of Rolling Bearings

3. Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraints

4. Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines

5. KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction

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